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Trainee Remote Data Analyst Jobs in Portland, OR

micro1 AI

Cheminformatics Specialist - Remote

Gresham, OR · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

DataAnnotation

Treasury Analyst - AI Trainer

Gresham, OR · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsData Analyst JobsTrainee Remote Data Analyst JobsTrainee Remote Data Analyst Jobs in Portland, OR

Trainee Remote Data Analyst information

See Portland, OR salary details

$23.9K

$94K

$152.7K

How much do trainee remote data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for trainee remote data analyst in Portland, OR is $94,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $115,100.00 per year, depending on experience, location, and employer.

What is a trainee remote data analyst?

A Trainee Remote Data Analyst is an entry-level role where you learn to collect, clean, analyze, and interpret data to support business decisions. Working remotely, you typically use tools like Excel, SQL, and Python to identify trends and insights. The role involves training under experienced analysts, handling real-world datasets, and developing problem-solving skills. It’s a great starting point for a career in data analytics, offering flexibility and hands-on experience in a growing field.

What are the key skills and qualifications needed to thrive as a trainee remote data analyst?

To thrive as a Trainee Remote Data Analyst, a foundational knowledge of statistics, data analysis, and spreadsheet tools—often gained through coursework or a related degree—is essential. Familiarity with data visualization software (like Tableau or Power BI), programming languages (such as Python or SQL), and basic understanding of databases are commonly required technical proficiencies. Strong problem-solving abilities, attention to detail, and effective time management help trainees excel in a remote setting. These skills and traits ensure accurate analysis, meaningful insights, and successful collaboration in virtual data-driven environments.

What does a trainee remote data analyst do?

As a Trainee Remote Data Analyst, your day will often include cleaning and organizing datasets, running queries, generating reports, and assisting with data interpretation for business or project needs. You’ll likely attend virtual team meetings to discuss analysis results, receive mentorship, and align on ongoing tasks. The role also involves learning new data tools, following structured training programs, and collaborating with senior analysts to support broader analytics goals. This remote position requires proactive communication and the ability to manage your own workflow while working closely with distributed teams.

What are the most commonly searched types of Trainee Data Analyst jobs in Portland, OR? The most popular types of Trainee Data Analyst jobs in Portland, OR are:
What are popular job titles related to Trainee Remote Data Analyst jobs in Portland, OR? For Trainee Remote Data Analyst jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Trainee Remote Data Analyst jobs in Portland, OR look for? The top searched job categories for Trainee Remote Data Analyst jobs in Portland, OR are:
What cities near Portland, OR are hiring for Trainee Remote Data Analyst jobs? Cities near Portland, OR with the most Trainee Remote Data Analyst job openings:
Trainee Remote Data Analyst jobs near you
Infographic showing various Trainee Remote Data Analyst job openings in Portland, OR as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% Remote job distribution, with an average salary of $94,029 per year, or $45.2 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Beaverton, OR • On-site, Remote

$90 - $120/hr

Part-time

Posted 13 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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